Knowledge Architect (Fleet)

Join CoreWeave, a leading AI infrastructure company, as a Knowledge Architect for Fleet Engineering. In this role, you will be responsible for capturing, structuring, and sharing knowledge within the Fleet Engineering team. You will work closely with operations engineers, managers, and subject matter experts to create and maintain internal technical documentation, onboarding content, and educational programs. Your work will be critical in ensuring that engineers have access to easily digestible and accurate information, allowing them to be productive and efficient in their roles.

• Capturer, structure, and share knowledge within the Fleet Engineering team.
• Build and maintain internal technical documentation, onboarding content, and educational programs.
• Work with operations engineers and subject matter experts to convert knowledge into published documentation.

• Experience auditing an existing body of documentation and remediating gaps in accuracy, coverage, or discoverability
• Experience building or maintaining onboarding programs or curricula for technical or operations teams
• Demonstrated experience interviewing engineers or subject matter experts and converting what you learn into published documentation
• Experience managing a request queue in Jira or a comparable system, including scoping work and committing to delivery dates
• Willingness to learn cooperation across multiple concurrent stakeholder teams, including teams that operate around the clock and across regions
• Experience owning content in Confluence or a comparable platform, including page structure, navigation, labeling, and templates, and applying a documentation style guide and template set consistently
• Experience writing and maintaining technical documentation for a technical audience, such as systems documentation, runbooks, workflows, escalation guides, or developer guides. Experience with Fleet teams is a strong plus
• Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match
• You'd rather fix the root cause of a recurring question than answer it again
• You're comfortable embedding with a fast-moving operations team and earning trust by shipping content they use
• You're an expert at structuring information so people find it without being told where it lives
• You love turning an undocumented system into a page someone can actually follow at 2 AM during an incident
• You're curious about how things work, and you ask the question the engineer assumed everyone already knew the answer to
• Experience documenting data center operations, bare metal provisioning, hardware lifecycle, or GPU and AI infrastructure
• Familiarity with Kubernetes, Redfish, AWX or Ansible, Grafana, and PagerDuty, or a demonstrated ability to learn operational tooling quickly
• Experience working with or documenting for operations, SRE, or on-call teams, including runbooks used during incident response
• Experience defining information architecture for a large or fragmented body of content
• Experience with docs-as-code workflows, including Git, Markdown, and pull request review
• Experience with enterprise search and content discoverability, for example Glean, including how structure and metadata affect retrieval